IJCAI 2018

870 papers

Reinforced Mnemonic Reader for Machine Reading Comprehension

Minghao Hu, Yuxing Peng, Zhen Huang, Xipeng Qiu, Furu Wei

Approximating Word Ranking and Negative Sampling for Word Embedding

Guibing Guo, Shichang Ouyang, Fajie Yuan, Xingwei Wang

EZLearn: Exploiting Organic Supervision in Automated Data Annotation

Maxim Grechkin, Hoifung Poon, Bill Howe

Topic-to-Essay Generation with Neural Networks

Xiaocheng Feng, Ming Liu, Jiahao Liu, Bing Qin, Yibo Sun

Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer

Xiaocheng Feng, Xiachong Feng, Bing Qin, Zhangyin Feng, Ting Liu

Extracting Action Sequences from Texts Based on Deep Reinforcement Learning

Wenfeng Feng, Hankz Hankui Zhuo, Subbarao Kambhampati

Efficient Pruning of Large Knowledge Graphs

Stefano Faralli, Irene Finocchi, Simone Paolo Ponzetto, Paola Velardi

A Question Type Driven Framework to Diversify Visual Question Generation

Zhihao Fan, zhongyu wei, Piji Li, Yanyan Lan, Xuanjing Huang

A Deep Modular RNN Approach for Ethos Mining

Rory Duthie, Katarzyna Budzynska

Attention-Fused Deep Matching Network for Natural Language Inference

Chaoqun Duan, Lei Cui, Xinchi Chen, Furu Wei, Conghui Zhu

Domain Adaptation via Tree Kernel Based Maximum Mean Discrepancy for User Consumption Intention Identification

Xiao Ding, Bibo Cai, Ting Liu, Qiankun Shi

Submodularity-Inspired Data Selection for Goal-Oriented Chatbot Training Based on Sentence Embeddings

Mladen Dimovski, Claudiu Musat, Vladimir Ilievski, Andreea Hossman, Michael Baeriswyl

Adversarial Active Learning for Sequences Labeling and Generation

Yue Deng, KaWai Chen, Yilin Shen, Hongxia Jin

TreeNet: Learning Sentence Representations with Unconstrained Tree Structure

Zhou Cheng, Chun Yuan, jiancheng Li, Haiqin Yang

Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment

Muhao Chen, Yingtao Tian, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo

Point Set Registration for Unsupervised Bilingual Lexicon Induction

Hailong Cao, Tiejun Zhao

Medical Concept Embedding with Time-Aware Attention

Xiangrui Cai, Jinyang Gao, Kee Yuan Ngiam, Beng Chin Ooi, Ying Zhang

An Encoder-Decoder Framework Translating Natural Language to Database Queries

Ruichu Cai, Boyan Xu, Zhenjie Zhang, Xiaoyan Yang, Zijian Li

Think Globally, Embed Locally --- Locally Linear Meta-embedding of Words

Danushka Bollegala, Kohei Hayashi, Ken-Ichi Kawarabayashi

Empirical Analysis of Foundational Distinctions in Linked Open Data

Luigi Asprino, Valerio Basile, Paolo Ciancarini, Valentina Presutti

Translations as Additional Contexts for Sentence Classification

Reinald Kim Amplayo, Kyungjae Lee, Jinyoung Yeo, Seung-won Hwang

A Brand-level Ranking System with the Customized Attention-GRU Model

Yu Zhu, Junxiong Zhu, Jie Hou, Yongliang Li, Beidou Wang

Impression Allocation for Combating Fraud in E-commerce Via Deep Reinforcement Learning with Action Norm Penalty

Mengchen Zhao, Zhao Li, Bo An, Haifeng Lu, Yifan Yang

GELU-Net: A Globally Encrypted, Locally Unencrypted Deep Neural Network for Privacy-Preserved Learning

Qiao Zhang, Cong Wang, Hongyi Wu, Chunsheng Xin, Tran V. Phuong

Sequential Recommender System based on Hierarchical Attention Networks

Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu

Representing Urban Functions through Zone Embedding with Human Mobility Patterns

Zijun Yao, Yanjie Fu, Bin Liu, Wangsu Hu, Hui Xiong

From the Periphery to the Core: Information Brokerage in an Evolving Network

Bo Yan, Yiping Liu, Jiamou Liu, Yijin Cai, Hongyi Su

Generating Adversarial Examples with Adversarial Networks

Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, mingyan liu

Axiomatization of the PageRank Centrality

Tomasz Wąs, Oskar Skibski

Cascaded SR-GAN for Scale-Adaptive Low Resolution Person Re-identification

Zheng Wang, Mang Ye, Fan Yang, Xiang Bai, Shin'ichi Satoh

High-Fidelity Simulated Players for Interactive Narrative Planning

Pengcheng Wang, Jonathan Rowe, Wookhee Min, Bradford Mott, James Lester

Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation

Hao Wang, Huawei Shen, Wentao Ouyang, Xueqi Cheng

A Group-based Approach to Improve Multifactorial Evolutionary Algorithm

Jing Tang, Yingke Chen, Zixuan Deng, Yanping Xiang, Colin Paul Joy

MASTER: across Multiple social networks, integrate Attribute and STructure Embedding for Reconciliation

Sen Su, Li Sun, Zhongbao Zhang, Gen Li, Jielun Qu

Path Evaluation and Centralities in Weighted Graphs - An Axiomatic Approach

Jadwiga Sosnowska, Oskar Skibski

Optimal Cruiser-Drone Traffic Enforcement Under Energy Limitation

Ariel Rosenfeld, Oleg Maksimov, Sarit Kraus

Weakly Learning to Match Experts in Online Community

Yujie Qian, Jie Tang, Kan Wu

Neural User Response Generator: Fake News Detection with Collective User Intelligence

Feng Qian, Chengyue Gong, Karishma Sharma, Yan Liu

LSTM Networks for Online Cross-Network Recommendations

Dilruk Perera, Roger Zimmermann

DyNMF: Role Analytics in Dynamic Social Networks

Yulong Pei, Jianpeng Zhang, George Fletcher, Mykola Pechenizkiy

A Non-Parametric Generative Model for Human Trajectories

Kun Ouyang, Reza Shokri, David S. Rosenblum, Wenzhuo Yang

Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach

Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun

Social Media based Simulation Models for Understanding Disease Dynamics

Ting Hua, Chandan K Reddy, Lei Zhang, Lijing Wang, Liang Zhao

A Social Interaction Activity based Time-Varying User Vectorization Method for Online Social Networks

Tianyi Hao, Longbo Huang

Adversarial Task Assignment

Chen Hajaj, Yevgeniy Vorobeychik

Tag-based Weakly-supervised Hashing for Image Retrieval

Ziyu Guan, Fei Xie, Wanqing Zhao, Xiaopeng Wang, Long Chen

Adversarial Regression for Detecting Attacks in Cyber-Physical Systems

Amin Ghafouri, Yevgeniy Vorobeychik, Xenofon Koutsoukos

Three-Head Neural Network Architecture for Monte Carlo Tree Search

Chao Gao, Martin Müller, Ryan Hayward

Fact Checking via Evidence Patterns

Valeria Fionda, Giuseppe Pirrò

A^3NCF: An Adaptive Aspect Attention Model for Rating Prediction

Zhiyong Cheng, Ying Ding, Xiangnan He, LEI ZHU, Xuemeng Song

Curriculum Adversarial Training

Qi-Zhi Cai, Chang Liu, Dawn Song

Periodic-CRN: A Convolutional Recurrent Model for Crowd Density Prediction with Recurring Periodic Patterns

Ali Zonoozi, Jung-jae Kim, Xiao-Li Li, Gao Cong

Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search

Tao Zhuang, Wenwu Ou, Zhirong Wang

A Local Algorithm for Product Return Prediction in E-Commerce

Yada Zhu, Jianbo Li, Jingrui He, Brian L. Quanz, Ajay A. Deshpande

A Deep Framework for Cross-Domain and Cross-System Recommendations

Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet Orgun

JUMP: a Jointly Predictor for User Click and Dwell Time

Tengfei Zhou, Hui Qian, Zebang Shen, Chao Zhang, Chengwei Wang

Fast Vehicle Identification in Surveillance via Ranked Semantic Sampling Based Embedding

Feng Zheng, xin miao, Heng Huang

Multi-Turn Video Question Answering via Multi-Stream Hierarchical Attention Context Network

Zhou Zhao, Xinghua Jiang, Deng Cai, Jun Xiao, Xiaofei He

Open-Ended Long-form Video Question Answering via Adaptive Hierarchical Reinforced Networks

Zhou Zhao, Zhu Zhang, Shuwen Xiao, Zhou Yu, Jun Yu

PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training

Wei Zhao, Benyou Wang, Jianbo Ye, Yongqiang Gao, Min Yang

NeuRec: On Nonlinear Transformation for Personalized Ranking

SHUAI ZHANG, Lina Yao, Aixin Sun, Sen Wang, Guodong Long

CoupledCF: Learning Explicit and Implicit User-item Couplings in Recommendation for Deep Collaborative Filtering

Quangui Zhang, Longbing Cao, Chengzhang Zhu, Zhiqiang Li, Jinguang Sun

DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision

Hanyuan Zhang, Hao Wu, Weiwei Sun, Baihua Zheng

Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics

Ge Zhang, Di Jin, Jian Gao, Pengfei Jiao, Françoise Fogelman-Soulié

Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference

Chuxu Zhang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla

Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Bing Yu, Haoteng YIN, Zhanxing Zhu

Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization

Kejing Yin, William K. Cheung, Yang Liu, Benjamin C. M. Fung, Jonathan Poon

Biharmonic Distance Related Centrality for Edges in Weighted Networks

Yuhao Yi, Liren Shan, Huan Li, Zhongzhi Zhang

Liang Yang, Yuanfang Guo, Di Jin, Huazhu Fu, Xiaochun Cao

Line separation from topographic maps using regional color and spatial information

Pengfei Xu, Qiguang Miao, Tiange Liu, Xiaojiang Chen, Dingyi Fang

Extracting Job Title Hierarchy from Career Trajectories: A Bayesian Perspective

Huang Xu, Zhiwen Yu, Bin Guo, Mingfei Teng, Hui Xiong

Where Have You Been? Inferring Career Trajectory from Academic Social Network

Kan Wu, Jie Tang, Chenhui Zhang

Matrix completion with Preference Ranking for Top-N Recommendation

Zengmao Wang, Yuhong Guo, Bo Du

Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data

Yingzi Wang, Xiao Zhou, Anastasios Noulas, Cecilia Mascolo, Xing Xie

Real-time Traffic Pattern Analysis and Inference with Sparse Video Surveillance Information

Yang Wang, Yiwei Xiao, Xike Xie, Ruoyu Chen, Hengchang Liu

Power-law Distribution Aware Trust Prediction

Xiao Wang, Ziwei Zhang, Jing Wang, Peng Cui, Shiqiang Yang

Estimating Latent People Flow without Tracking Individuals

Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda

Discrete Network Embedding

Xiaobo Shen, Shirui Pan, Weiwei Liu, Yew-Soon Ong, Quan-Sen Sun

A Joint Learning Approach to Intelligent Job Interview Assessment

Dazhong Shen, Hengshu Zhu, Chen Zhu, Tong Xu, Chao Ma

Improving Information Centrality of a Node in Complex Networks by Adding Edges

Liren Shan, Yuhao Yi, Zhongzhi Zhang

Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification

Sungmin Rhee, Seokjun Seo, Sun Kim

Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction

Zhi Qiao, Shiwan Zhao, Cao Xiao, Xiang Li, Yong Qin

ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks

Zhen Peng, Minnan Luo, Jundong Li, Huan Liu, Qinghua Zheng

Hierarchical Electricity Time Series Forecasting for Integrating Consumption Patterns Analysis and Aggregation Consistency

Yue Pang, Bo Yao, Xiangdong Zhou, Yong Zhang, Yiming Xu

On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach

Sriraam Natarajan, Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac

From Reality to Perception: Genre-Based Neural Image Style Transfer

Zhuoqi Ma, Nannan Wang, Xinbo Gao, Jie Li

Your Tweets Reveal What You Like: Introducing Cross-media Content Information into Multi-domain Recommendation

Weizhi Ma, Min Zhang, Chenyang Wang, Cheng Luo, Yiqun Liu

Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang

LC-RNN: A Deep Learning Model for Traffic Speed Prediction

Zhongjian Lv, Jiajie Xu, Kai Zheng, Hongzhi Yin, Pengpeng Zhao

Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback

Yong Liu, Lifan Zhao, Guimei Liu, Xinyan Lu, peng gao

Hashtag2Vec: Learning Hashtag Representation with Relational Hierarchical Embedding Model

Jie Liu, Zhicheng He, Yalou Huang

Discrete Factorization Machines for Fast Feature-based Recommendation

Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu

Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation

Guiliang Liu, Oliver Schulte

Predicting Activity and Location with Multi-task Context Aware Recurrent Neural Network

Dongliang Liao, Weiqing Liu, Yuan Zhong, Jing Li, Guowei Wang

GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction

Yuxuan Liang, Songyu Ke, Junbo Zhang, Xiuwen Yi, Yu Zheng

Lightweight Label Propagation for Large-Scale Network Data

De-Ming Liang, Yu-feng Li

Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation

Duc-Trong Le, Hady W. Lauw, Yuan Fang

Integrative Network Embedding via Deep Joint Reconstruction

Di Jin, Meng Ge, Liang Yang, Dongxiao He, Longbiao Wang

Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents

Liang Hu, Songlei Jian, Longbing Cao, Qingkui Chen

Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks

Xiaotian Han, Chuan Shi, Senzhang Wang, Philip S. Yu, Li Song